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Tag: statistics

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Here you can find all blog posts about the Tag: statistics. You can go back to all blog posts or take a look into our other categories & tags.

pg_stat_io and PostgreSQL 16 performance

by Hans-Jürgen Schönig | 10.2023
How to use pg_stat_io for true debugging power in PostgreSQL v16. Offers deep insights into database I/O behavior & performance.

Enabling and disabling autovacuum in PostgreSQL

by Hans-Jürgen Schönig | 06.2021
UPDATED Aug 2023: How to enable and disable autovacuum in PostgreSQL: How does autovacuum really work? Can you simply turn it on and off?

Estimating connection pool size with PostgreSQL database statistics

by Laurenz Albe | 02.2021
  PostgreSQL v14 has new connection statistics in pg_stat_database. In this article, I want to explore one application for them: […]

PostgreSQL: CREATE STATISTICS - advanced query optimization

by Hans-Jürgen Schönig | 02.2021
The PostgreSQL query planner doesn't know which data usually correlates. How to use CREATE STATISTICS to find correlations.

PostgreSQL: ANALYZE and optimizer statistics

by Hans-Jürgen Schönig | 02.2021
To find the best execution plan PostgreSQL is relying on statistics to give the optimizer an indication of what to expect.

Correlation of PostgreSQL columns explained

by Laurenz Albe | 09.2018
After you ANALYZE a PostgreSQL table to collect value distribution statistics, you will find the gathered statistics for each column […]

3 ways to detect slow queries in PostgreSQL

by Hans-Jürgen Schönig | 08.2018
How to fix bad performance in PostgreSQL - shows three useful and quick methods to spot performance problems and slow queries.

How a bad network configuration can cause table bloat

by Laurenz Albe | 01.2018
(Updated 2023-04-20) I recently had an interesting support case with table bloat that shows how the cause of a problem […]

Visualizing data in PostgreSQL with R Shiny

by Hans-Jürgen Schönig | 09.2017
R is excellent for data analysis and graphics. Here's how to write an R application visualize data in a PostgreSQL database with R Shiny

Changing histogram sizes

by Hans-Jürgen Schönig | 10.2013
Statistics are the rocket fuel behind performance. Learn to adjust histogram sizes for optimal performance results.
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